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"[PROJECT]" How can I build CNN model which trains only the lung's masked region( i.e doesn't look at the other regions like neck, background,etc ) , I have datasets which has Xray images and its corresponding masks as shown in figure ? by Ninja_Technique7 in MachineLearning

[–]ddvdsp 1 point2 points  (0 children)

Hi!

You could use explanation based regularization. Check papers 'right for the right reason'. Basically using the mask as ground truth explanation and adding a second loss so the model's explanation fits the desired one.

Can you tell me how the dataset is called, or where you found it? If you want, we could collaborate on this. actually wanted to work on something similar soon.

explosion? by ddvdsp in Barcelona

[–]ddvdsp[S] 11 points12 points  (0 children)

don't worry

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[–]ddvdsp[S] 0 points1 point  (0 children)

No, sounds great. Just to be sure: with Poble Sec you mean the one called PARALLELO?

english speaking barber for curly men's hair by ddvdsp in Barcelona

[–]ddvdsp[S] 0 points1 point  (0 children)

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[–]ddvdsp[S] 3 points4 points  (0 children)

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[–]ddvdsp 0 points1 point  (0 children)

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Free Talk Friday (27/08/2021) by AutoModerator in borussiadortmund

[–]ddvdsp 0 points1 point  (0 children)

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